Retrieval of the daytime pixel-level hourly rain rate using FY-2C’s dual-spectral imagery

Based on the geostationary meteorological satellite FY 2C's multi-spectral data of China,this paper studies the method using thermal infrared bright temperature and visible light albedo to imitate and demonstrate the pixel level hourly rainfall rate and rainfall intensity class.We firstly employ the rainfall probability analysis matrix to differentiate precipitation cloud and non precipitation cloud with the skill score reaching 0.5073 This notably improves the accuracy of the rain area estimation compared with the threshold value distinguishing method.The accuracy of analyzing hourly rain rate with the method is about 52.19% if the deflection of ±20% is permitted.And after the test of more than 1200 samples,the accuracy of this investigation of small,middle and heavy rain and rainstorm reaches 62.79% Furthermore,if we consider the tiny rain with its rain rate less than 0.5 mm/h as the non rain case,the accuracy of the rainfall rate est imation can reach 88.17%.